Shaxsni harakatlari orqali identifikatsiya qilishdagi neyron tarmoqlari yordamidagi yondashuvlar


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141 
1. Ximmatov I.Q. Advantages of biometrik gait recognition. Important factors in evaluation of 
gait analysis systems. SamDU Ilmiyi axborotnomasi. ISSN 2091-5446, 2020-yil, 3-son (121), 
[104-107].b 
2. A.R. Akhatov, O.I.Djumanov. Mechanisms of images visualization in the system of micro-
objects recognition and classification. In proceedings of the Fourth World Conference on 
Intelligent Systems for Industrial Automation, 21-22 November, 2006. – Tashkent, Uzbekistan.
– 206-210 p
3. Daniel Durstewitz, Georgia Koppe, Andreas Meyer-Lindenberg. Deep neural networks in 
psychiatry. Molecular Psychiatry volume 24, pages1583–1598 (2019).
4. 
Krizhevsky A, Sutskever I, Hinton GE. Imagenet classification with deep convolutional 
neural networks. Proceedings of the Advances in Neural Information Processing Systems
2012;1097–105. 
MINIMUM WIDTH TREES AND PRIM ALGORITHM USING ARTIFICIAL 
INTELLIGENCE 
Akhatov Akmal Rustamovich 
Samarkand State University Vice-Rector for International Cooperation. 
Ulugmurodov Shokh Abbos Bakhodir ugli 
Assistant of the Department of Computer Science and Programming,
Jizzakh branch of the National University of Uzbekistan
Abstract: To date, many algorithms have been developed that can be calculated using 
the Prim algorithm. Artificial intelligence-based methods are a significant drawback. Using 
artificial intelligence is a very convenient method of minimizing residual trees (MST) to find the 
shortest path graph optimally. 

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